MUMBAI, India, Aug. 17 -- Intellectual Property India has published a patent application (202641094730 A) filed by Dhanalakshmi Srinivasan College Of Engineering And Technology on August 05, 2026, for Ai-Driven Personalized Health Recommendation Engine Using Machine Learning For Lifestyle And Disease.
Inventors include K. Rajavadhani; Dhivya A; Jeevitha K; and Keerthana.
The application for the patent was published on August 14, 2026, under issue no. 33/2026.
Abstract: The present invention relates to the field of Artificial Intelligence, Machine Learning, and Healthcare Informatics. The invention proposes an AI-Driven Personalized Health Recommendation Engine that predicts health risks and generates personalized recommendations for improving overall health and preventing lifestyle-related diseases. The system collects user information including age, gender, height, weight, Body Mass Index (BMI), physical activity, dietary habits, sleep patterns, medical history, and optional skin images. The collected data undergo preprocessing techniques such as data cleaning, normalization, feature extraction, and missing value handling before being analyzed using machine learning algorithms including Random Forest, Support Vector Machine (SVM), Logistic Regression, and Convolutional Neural Networks (CNN) for skin analysis. Based on the prediction results, the recommendation engine generates customized diet plans, exercise routines, hydration schedules, sleep improvement strategies, skincare recommendations, and preventive healthcare suggestions tailored to the user's health condition. The system continuously updates recommendations based on user feedback and changing health parameters, thereby improving recommendation accuracy and supporting long-term health management. The proposed invention promotes preventive healthcare, enhances user awareness, enables early detection of potential health risks, and provides intelligent decision support for maintaining a healthy lifestyle. The invention is applicable to hospitals, healthcare organizations, telemedicine platforms, fitness applications, wellness centers, and personal healthcare management systems. It offers a comprehensive, accurate, and user-centric approach to personalized digital healthcare through the integration of machine learning and intelligent recommendation technologies.
Disclaimer: Curated by HT Syndication.
